proof: Helped SEOSpace (now) 10x revenue and reduce churn by 40% [youtu.be/rMCZl2xdk_4] Helped Flozy add $1M within 6 months [youtu.be/ctuwuJ6jKmA] Helped ListMint launch and grow to $100,000s [youtu.be/CgJRtOSmtfk] Helped Instantly grow to $20M in 3 years while bootstrapped [youtu.be/XrDYf3_Yovc]

Team members adopting AI is not the constraint in a business (At least not in my exp.) I've interviewed & worked with people who obsessively use AI and have 10 years of experience doing their work - the smartest people in their industry, on paper But they're still not a good fit to work together. When the rubber meets the road they fail The constraint is pace AI allows you to do more and do it faster but most people aren't used to operating at an unreasonably fast pace What used to take 1 week can now be done in 1 day and in those extra 4 days you've gained you're expected to still produce (and if you think doing things faster means lower quality, you're wrong. this is a solvable skill issue) For a lot of people this breaks their brain because they're used to spending weeks on things. Doing multiple things in parallel and at a faster rate than 1 individual task is a foreign concept Hence why, imo, middle managers have the biggest risk in the AI era. Those hours spent communicating & coordinating can now be systemised, so the several hours per week that are free should be spent on producing - but most middle managers aren't great at producing, so they fail As a result a highly leveraged IC is far more valuable than any manager

was it ever not?

i spend several hrs using tools like claude code every day but i'm yet to use agents inside Slack am i missing out / is it worth doing? interested to hear use cases

who's the best outbound focused GTM agency?

Twitter was YEARS ahead - ppl like @danielfazio put thousands of people onto modern way of cold email for example but since Clay a lot of VC money has been poured into GTM tech companies, which all market to each other primarily through LinkedIn content, ads & outbound More GTM content on LinkedIn means more competition, more innovation

tapped into the london fan club with this one

a lot of London Maxxing on the timeline atm despite its flaws, London is one of the greatest cities in the world (London is not just Oxford street or Kensington) few places in the world where you can get finance bros, tech bros, 8am clubs and chicken shops within a few miles of each other Thursday beers in shoreditch after work remains undefeated

the richest founder i know: - barely uses social (was previously active & now has a large team) - had top CEOs tell him he is doing things wrong, despite his company being an outlier performer - plays games all the time - mostly a team of contractors & agencies, not even sure if he has c-level execs multiple 9-figure EV business i think about that a lot

Big Tech shipping products like this is crazy Startups exist because incumbents (like Google) have historically been slow to innovate, which creates lots of gaps to fill But now incumbents are innovating much faster, reducing opportunity surface area for founders It’s easier than ever to start a company, everyone has the playbook stored in .md files but only the absolute cracked will successfully scale

this Series A startup had ~4 blog posts when we started btw, basically brand new 0-1 on organic search

dudes be making 20 landing pages, 100 ads and 50,000 TikTok videos by using Claude Code but they're still doing less than $20k p/m in revenue this is not the way

The agency death spiral Charge low fees ↓ Realise low profit ↓ Can only afford junior people ↓ Don't get A results for clients due to jnr people ↓ Clients churn (low LTV) due to no results ↓ Founder(s) takes home no money, glorified job ↓ Agency dies

167% increase in demo requests, 76% in MQLs, £115k pipeline and £9k closed in 4 weeks of us going live with this RecruitmentTech client Screenshot from @hockeystackHQ Organic search can work for mid-market to enterprise companies And you can get results from organic search without it taking 6-12 months Zero backlinks were acquired during this period, oldschool SEO agencies screaming rn

what $100k MRR apps are selling for $4m? software multiples are nothing like they used to be sub $1m EBITDA you’re probably getting a 1-2x

first thing I noticed as well are b2b buyers using free versions of ChatGPT? maybe, plus things can change

ChatGPT ads will be the opportunity of the next decade. Intent targeting = ads that print. I bet GPT shopping ads are next. Then local businesses. Attention is the most valuable asset in 2026.

👀

Clay just announced their ChatGPT app, meaning you can use it INSIDE the ChatGPT interface And you're still sleeping on LLMs as a distribution channel

We analysed 6,500 Reddit citations from ChatGPT, the pattern we discovered was surprising: It's not about buying upvotes or spamming automated comments. Here's what we've learned and what creates a good Reddit marketing strategy going into 2026: 1️⃣ Map where AI platforms are already surfacing your category Use tools like Scrunch or @semrush that help you run AI visibility audits and see what sources are being cited. Identify the Reddit threads being cited and seed mentions. Also take note of what subreddits appear most. These are the places you want to increase share of voice. Anything other than using (sandboxed) AI answers to inform your strategy, including Google SERP, is guesswork. 2️⃣ Capture the long tail, not upvotes After analysing thousands of citations, the objective is capturing long-tail queries, not winning a popularity contest. I've found cited comments halfway down threads with barely any upvotes. Not what you'd expect. Reddit has a unique relationship with AI platforms: it's used as training data for models, appears in real-time searches, and provides grounding for AI answers. What LLMs extract: entity-dense content that creates clear associations with your brand. Things like: - Named competitors and alternatives - Integrations - Specific product capabilities - Implementation scenarios - Company size and vertical fit Think about how your buyers query ChatGPT They load context upfront: "I run marketing for a Series B SaaS company...team of 12...need to prove LinkedIn ROI to our board...current attribution is bad..." The LLM processes this and generates sub-queries. Your content needs to address these variations. The wrong way to think about Reddit is direct lead generation. It's all about being in the place LLMs trust. 3️⃣ Follow the rules or your content will be removed Reddit isn't LinkedIn. Direct promotion backfires. Our approach: lead with the problem, build to the solution, position your product as maybe 10% of the answer. The trick is naturally connecting the discussion to what you offer. Share real expertise. Answer the core question. When your solution fits, present it as one option alongside others (which also creates richer content for LLMs) We rarely drop links unless we're deliberately driving traffic to specific docs or research. I think I've said it before but I'll say again: You are massively underestimating Reddit's impact on AI search. P.S. I've created a **free** tool (no strings) that finds Reddit threads being cited by ChatGPT in your category so you know where to target and appear in more AI citations. Comment below and i'll send you the link.

I've reviewed dozens of "AEO strategies" from SEO agencies this year. 80% are traditional SEO with a new label slapped on. I call this AI-washing. Similar to how corporates greenwash. Same 2015 SEO playbook, new buzzwords and low understanding of how LLMs actually work. How to spot an AI-washed SEO agency: (1) They don't inform strategy with sandboxed LLM testing There is no keyword explorer for AI prompts and Google's SERP won't help you understand how your buyers behave inside ChatGPT. To understand how you appear in LLMs you must run tests within LLMs. Ideally these tests will be within a controlled environment to minimise false positives and at a scale to achieve statistical significance. (a lot of companies are being fooled by random data in nice looking dashboards atm) (2) They continue to only report keyword positions, impressions and clicks "This page ranks 4th position on Google" tells you nothing about: - how you appear in LLMs - how your company is being positioned against competitors in LLMs - what sources of information are influencing decisions in LLMs - or how your AEO strategy is having an impact It's like showing a screenshot of Facebook ads manager and saying "Our LinkedIn ads are killing it" (3) They don't have a methodology beyond best practices seen on LinkedIn Nobody has AEO completely figured out. We're still so early. However, we've now entered the mathematical era of search and the winning teams will be those with technical alpha. These are generative systems that don't care about your storytelling, nice visuals and the branded terms you've claimed. LLMs see vectors which are windows of words converted to numbers. From there it's maths all the way down: relevance scoring, reranking, reflection, grounding and synthesis. Citation decisions are outputs from these calculations, not editorial taste or judgement. SEO asks: Will a human find this valuable? AEO asks: Will this passage score high enough in a retrieval system to get cited? The winning teams atm understand this, are conducting research and being informed by math. They're not adding a checkbox TL;DR section just because someone said it helps. Guessing isn't a methodology.